Objective：To investigate the correlation between angiotensin[including angiotensin（Ang）Ⅰ，Ang Ⅱ and Ang 1-7]with its converting enzyme[including angiotensin converting enzyme（ACE）and ACE2]and cognitive and motor impairments in Parkinson’s disease（PD）. Methods：Two hurdred patients diagnosed with PD at Jiangyin People’s Hospital between september 1，2023 and June 1， 2024 were included. We evaluated cognitive and motor functions of patients by collecting medical history，assessed cognitive function by using Montreal cognitive assessment（MoCA），mini - mental state examination（MMSE）and other scales，and assessed motor symptoms by using the International Movement Disorders Association Parkinson’s Disease Score scale. Serum samples were collected. ACE，ACE2，AngⅠ，AngⅡ，Ang1 - 7 and other indicators were detected by enzyme linked immunosorbent assay method，and PD cognitive and motor disorders were predicted by a random forest model. Results：The predictive model of PD cognitive impairment was constructed based on ACE，AngⅠ，AngⅡ，Ang1-7 and age，and the accuracy of the validation set was 0.847，the area under receiver operating characteristic curve（AUC）was 0.909. Based on the ACE，AngⅠ and Ang1-7，the prediction model of PD dyskinesia was built，and the AUC value of validation set was 0.618. Patients with early versus late dyskinesia showed statistically significant differences in ACE，AngⅠ，AngⅡ，and Ang1-7 levels regardless of the presence or absence of cognitive impairment. Conclusion：The differences of ACE and Ang Ⅰlevels in PD cognitive and motor disorders suggest that those indicators may play key roles in the progression of PD disease. The random forest model performed well in predicting PD cognitive impairment and was helpful in early identification of PD patients with cognitive dysfunction.